GraphCache can be incorporated into popular RE models to improve their effectiveness without increasing their time complexity, as analyzed in theory (sec:32).
As far as we know, ours is the first work to propagate the features across instances to enrich the semantics for sentence-level RE.
We evaluate GraphCache on three public RE benchmarks including TACRED [1]}, SemEval-2010 task 8 [2]}, and TACREV [3]}.
Empirical results show that GraphCache consistently improves the effectiveness of popular RE models by a significant margin and propagates features between all sentences in an efficient manner.
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